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Field
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research in several important national and global areas for the betterment of humanity. Areas of research include power and power electronics, information systems, computer architecture, analog and mixed
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
) Postdoctoral research fellow in translational computational approaches for single cell migration through non-isotropic environments Advisor: Professor Anotida Madzvamuse (Mathematics) We seek a highly talented
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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opportunity to engage in cutting-edge interdisciplinary research focused on Construction Robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated
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| Ophthalmology We are seeking a Postdoc with strong bioinformatics / Statistical Genetics skills to join us. Our mission is to advance the understanding of the genetic architecture of complex human diseases and
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the study of the impact of digital and computational pathology on clinical workflows and patient care. Our lab is located in the heart of Munich at the TUM Klinikum rechts der Isar (MRI), Institute
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing